Item Ratings Research Articles

Leadership development through 360-degree multi-rater feedback—An experience sharing of need, approach, roll-out, and the impact

The organizational development (OD) interventions carried out by the assessment center identifying the competencies becomes effective only if the expectation of the stakeholders is met. A 360-degree multipurpose intervention is to assess and develop project director’s leadership capabilities and enable them to execute Mega Infrastructure Projects in India executed by Larsen and Toubro, the leading engineering, procurement and construction (EPC) players of India. Implementing such Mega Projects by maintaining time, cost, safety, and quality parameters require leadership skills of high order. To meet out this requirement implementation partner interacted with few project directors from each business verticals such as nuclear, hydel, metro, defense, special bridges and ports and harbor, to understand the role holders’ challenges and the expectations. L&T Heavy Civil Infrastructure (HCI) Leadership Competency framework was thus drafted looking into the role intensity and specific role-based challenges of the Mega Project Leaders. The questionnaires were designed to cover all dimensions and sub dimensions of 8 competencies, covering 40 behavioral Indicators. the questionnaires were hosted on the online platform to including self, supervisor, direct repartees, peers, customers, and other stakeholders. Validation to the assessment of each dimension and sub-dimensions as qualitative feedback is done with simple average scores and the range. The study found that execution leadership was the highest rated competency followed by customer engagement and talent management. The study also found that strategic orientation and decision making were rated low compared to other competencies, got validated by comments of customers as well. This is quite evident from the feedback that was taken after 9 months of the intervention. The study by using Delphi technique revealed that by providing feedback from all stakeholders supported by systematic coaching, 88% participants showed improvement in the low rated items. The study further proved that with proper feedback and coaching at an individual level with required trust and keeping development as the core agenda and without linking to any other HR processes like appraisal and promotion, majority of the participants took full ownership, interest and worked on their individual competency development showing their learning agility.

Progress testing of an objective structured clinical examination during undergraduate clinical clerkship: a mixed-methods pilot study

BackgroundProgress testing is an assessment method in which an examination reflecting competencies at graduation is regularly administered to students over multiple years, thereby facilitating self-directed learning. However, the significance of the objective structured clinical examination as a progress test in undergraduate education, needs to be determined. This study provides evidence of the role of the objective structured clinical examination for progress testing and optimal scoring methods for assessing students in different academic years.MethodsWe conducted a sequential explanatory mixed-methods pilot study. Participants were assessed using the Item Rating Scale, the year-adjusted Global Rating Scale, and the Training Level Rating Scale. The characteristics of each scale were compared quantitatively. In addition, the influence of the objective structured clinical examination as a progress test on learning attitudes was examined. Qualitative data from a post-examination questionnaire were analyzed, using content analysis to explore influences on self-directed learning.ResultsSixth and fifth year clinical students (n = 235) took the objective structured clinical examination progress test. The total Item Rating Scales were recorded (%) as 59.03 ± 5.27 and 52.64 ± 5.08 (p < 0.01); Training Level Rating Scale was 3.94 ± 0.39 vs 3.22 ± 0.42 (p < 0.01); and the year-adjusted Global Rating Scale was 4.25 ± 0.44 vs 4.32 ± 0.52 (no significant difference), for the sixth and fifth year students, respectively. The correlations across stations and the reliability of each station were satisfactory. Four categories were identified in the qualitative analysis: “motivation to learn during the clinical clerkship was promoted,” “dissatisfied with being asked about things they had not experienced,” “confusion about being unable to use conventional test-taking strategies,” and “insufficient understanding of competencies at graduation.” The scores indicated significant differences in performance according to training year.ConclusionsThis study provides evidence that the objective structured clinical examination can be used as a progress testing tool for undergraduate clinical clerkships. Further enhancement of training opportunities and dissemination of performance competency goals in clerkship curricula are required if we intend to promote self-directed learning through progress testing.

The impact of the COVID-19 pandemic on cardiovascular disease prevention and corresponding geographical inequalities in England: interrupted time series analysis

BackgroundThere has been disruption to the detection and management of those with hypertension and atrial fibrillation (AF) during the COVID-19 pandemic. This is likely to vary geographically and could have implications for future mortality and morbidity. We aimed to estimate the change in diagnosed prevalence, treatment and prescription indicators for AF and hypertension and assess corresponding geographical inequalities.MethodsUsing the Quality and Outcomes Framework (2016/17 to 2021/22) and the English Prescribing Datasets (2018 to 2022), we described age standardised prevalence, treatment and prescription item rates for hypertension and AF by geography and over time. Using an interrupted time-series (ITS) analysis, we estimated the impact of the pandemic (from April 2020) on missed diagnoses and on the percentage change in medicines prescribed for these conditions. Finally, we described changes in treatment indicators against Public Health England 2029 cardiovascular risk targets.ResultsWe observed 143,822 fewer (-143,822, 95%CI:-226,144, -61,500, p = 0.001) diagnoses of hypertension, 60,330 fewer (-60,330, 95%CI: -83,216, -37,444, p = 0.001) diagnoses of AF and 1.79% fewer (-1.79%, 95%CI: -2.37%, -1.22%), p < 0.0001) prescriptions for these conditions over the COVID-19 impact period. There was substantial variation across geography in England in terms of the indirect impact of the COVID-19 pandemic on the diagnosis, prescription, and treatment rates of hypertension and AF. 20% of Sub Integrated Care Boards account for approximately 62% of all missed diagnoses of hypertension. The percentage of individuals who had their hypertension controlled fell from 75.8% in 2019/20 to 64.1% in 2021/22 and the percentage of individuals with AF who were risk assessed fell from 97.2% to 90.7%.ConclusionsHypertension and AF detection and management were disrupted during the COVID-19 pandemic. The disruption varied considerably across diseases and geography. This highlights the utility of administrative and geographically granular datasets to inform targeted efforts to mitigate the indirect impacts of the pandemic through applied secondary prevention measures.

MultiFDF: Multi-Community Clustering for Fairness-Aware Recommendation

The fairness consideration has received increasing attention in artificial intelligence (AI), especially in the significant application, recommender system. One kind of fairness issue is to balance the exposure of popular items and less popular items. Existing works mainly compensate the less popular items when predicting their ratings. However, the compensation for the items may result in a loss of recommendation accuracy, as the compensated items may not match user’s preference. For this problem, we propose a multi-community clustering recommendation with fair decision fusion (MultiFDF) framework to compensate less popular items locally, which can reduce the negative impact on user’s preferred popular item. We first design an experiment and deliver a causal graph-based mathematical proof to demonstrate the feasibility of local compensation. It proves that there is a discrete tendency of ratings predicted by a recommendation algorithm and a recommendation algorithm gives a higher rating to the popular item than the less popular item. The MultiFDF consists of three parts, community exploration module, local recommendation module, and fair decision fusion module. The community exploration module outputs several communities for local recommendation module to generate local recommendation lists, respectively. The fair decision fusion module then computes the discrete ratings of items based on local recommendation lists and designs an edge reranking strategy based on their discrete ratings to obtain the final fair top- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$N$</tex-math> </inline-formula> recommendation list. To verify the superiority of our proposed MultiFDF, we conduct experiments on three real world datasets and the results demonstrate that MultiFDF can improve fairness at the cost of lower accuracy than the state-of the-art algorithms.

Detecting skewed pricing in tenders for public-sector projects

Purpose Skewed pricing is a typical tactic used by tenderers in unit price projects to gain additional advantages at the expense of the owner or other competing tenderers. This paper aims to describe the development of a model for detecting skewed pricing in competitive tendering for unit price contracts. Design/methodology/approach The model evaluates how much the offered unit rates for work items deviate from the reasonable rate identified from the item’s submitted unit rates. Item rate deviations are integrated into a total deviation score for each submitted tender based on the relative weight of the work item to the total project amount. The model allows for assigning higher weights to work items that are more prone to skewed pricing, such as those that are performed early and those that are expected to experience quantity fluctuations. Findings The paper presents a detection model that uses only the submitted prices of the competing tenderers to perform the needed calculations, which reduces subjectivity in identifying skewed tenders. Two examples are given to demonstrate how the model may be used to detect skewed tenders. Originality/value The model supports tendering officials in the challenging task of identifying skewed tenders, which is required by rules and regulations governing public procurement. The model’s ease of use is expected to make it more widely used as a decision-support tool during the tender evaluation stage of real-world projects.

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach

While personalization increases the utility of item recommendation, it also suffers from the issue of popularity bias. However, previous methods emphasize adopting supervised learning models to relieve popularity bias in the static recommendation, ignoring the dynamic transfer of user preference and amplification effects of the feedback loop in the recommender system (RS). In this paper, we focus on studying this issue in the interactive recommendation. We argue that diversification and novelty are both equally crucial for improving user satisfaction of IRS in the aforementioned setting. To achieve this goal, we propose a D iversity- N ovelty- a ware I nteractive R ecommendation framework (DNaIR) that augments offline reinforcement learning (RL) to increase the exposure rate of long-tail items with high quality. Its main idea is first to aggregate the item similarity, popularity, and quality into the reward model to help the planning of RL policy. It then designs a diversity-aware stochastic action generator to achieve an efficient and lightweight DNaIR algorithm. Extensive experiments are conducted on the three real-world datasets and an authentic RL environment (Virtual-Taobao). The experiments show that our model can better and full use of the long-tail items to improve recommendation satisfaction, especially those low popularity items with high-quality ones, thus achieving state-of-the-art performance.

Psychometric Evaluation of the PNH Symptom Questionnaire (PNH-SQ) Among Patients with Paroxysmal Nocturnal Hemoglobinuria from Three Phase 2 Clinical Trials with Pozelimab Monotherapy or in Combination with Cemdisiran

Background: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired, life-threatening disease caused by chronic dysregulation of the complement system. PNH has a high symptom burden with significant impacts on the life of a patient. The PNH Symptom Questionnaire (PNH-SQ) is a PNH-specific patient-reported outcome (PRO) questionnaire designed to assess daily symptom severity in patients with PNH. The objective of this current study was to evaluate PNH-SQ psychometric properties among patients with PNH from three phase 2 clinical trials with pozelimab monotherapy or in combination with cemdisiran. Methods: PRO data from three phase 2 PNH clinical trials, study 1852 (NCT03946748; pozelimab monotherapy; n=24), study 2092 (NCT04811716; combination therapy; n=24), and study 20105 (NCT04888507; combination therapy; n=6), were used for analysis. The PNH-SQ is a patient-reported daily diary that assesses 10 core symptoms of PNH using a five-point severity scale (none; very mild; mild; moderate; severe; very severe) for fatigue, shortness of breath, muscle weakness, headaches, abdominal pain, pain in back or legs, and chest discomfort, and a five-point difficulty scale (none, not at all, a little bit, somewhat, quite, very) for difficulty sleeping, difficulty thinking clearly, and difficulty swallowing. Prespecified psychometric analyses were performed after study database lock using blinded data. Analyses included quality of completion (ie ePRO prevented item-level missingness) and item responses over time. Reliability and validity of daily assessments with classical test theory (internal consistency and test-retest reliability, construct validity by observing correlations between pairs of PNH-SQ items and of the PNH-SQ daily score with other PRO scores from the EORTC QLQ-C30, FACIT-Fatigue and EQ-5D) and Rasch measurement theory (RMT) analyses were conducted. Test-retest reliability (within stable patients 4 weeks apart) and construct validity of various exploratory methods for aggregating daily scores over time were assessed. Results: Completion rates of PNH-SQ items were higher in studies 20105 and 2092 (at Day 1: 54.2% in 1852 vs 83.3% in 20105 and 91.7% in 2092). Fatigue was consistently the most experienced symptom at baseline of the three studies, while difficulty swallowing was not experienced by any patient. A high proportion of ‘none’ responses were observed across all assessments. Cronbach's alpha calculated using all daily assessments was 0.75, indicating modest reliability. The correlation between each pair of items at Day 1 ranged between 0.11 and 0.93, with the lowest correlations being observed between pain items and sleep/cognitive items, and between abdominal pain and fatigue/dyspnea. At Day 1, PNH-SQ daily score trended higher according to the Patient Global Impression of Severity (PGIS)-symptoms categories and showed moderate correlations in expected direction with fatigue and pain, as assessed by FACIT-Fatigue and EORTC QLQ-C30, and lower correlations with dyspnea and overall health status (EQ-5D visual analog scale). RMT analyses of the daily PNH-SQ data highlighted that for response options “Very mild” for severity/“Not at all” for difficulty did not provide any useful information. RMT also uncovered a meaningful hierarchy of symptoms ranging from fatigue to difficulty swallowing. A fixed 7-day average led to the best test-retest reliability (intraclass correlation coefficient, 0.76). Conclusions: Our analyses documented the PNH-SQ as an instrument to capture symptoms of PNH. The most frequent symptoms reported in our sample using the PNH-SQ, fatigue, dyspnea, and headaches, were aligned with observational study data. The sample of observations from the three trials was strongly skewed towards absence of symptoms, probably reflecting the low symptomatic severity of patients included in the study. Despite this restriction, early supportive data for the scoring of the PNH-SQ from a sample of patients with PNH were obtained, generating useful insights into the function of the response scales, opportunities for the creation of daily assessments of symptom severity, and for the creation of a measure reflecting severity over a longer period, for which a fixed 7-day average appeared as a potential good scoring approach. Generating further evidence, especially in a sample of more symptomatic patients, is recommended to substantiate these results.

HPV Vaccine Knowledge and Hesitancy Among Health Colleges' Students at a Saudi University.

Human papillomavirus (HPV) infection is a widespread sexually transmitted infection linked to various types of cancer. Although vaccination against HPV is available, global HPV vaccination rates remain low. This study aimed to evaluate the awareness and knowledge of the HPV vaccine and to identify predictors associated with vaccine hesitancy among health college students at King Saud University, Saudi Arabia. A cross-sectional survey was distributed during December 2022 to students enrolled in health colleges. The survey link was randomly distributed via social media platforms and in-person interactions. The number of participants was 405 including both males and females. The data was analyzed using the Statistical Package for Social Sciences (SPSS). The correct response rate for all knowledge items was calculated, and they were stratified by gender and college. The association of vaccine hesitancy with sociodemographic characteristics was examined using logistic regression analysis. The study found that approximately half of the students (49.9%) were aware of the HPV vaccine. However, only a small percentage of students answered all to all HPV knowledge items correctly. Additionally, only a small proportion (5.2%) reported receiving the vaccine. The overall HPV vaccine hesitancy was 59.1% (43.9% for female and 75.9% for male). The most common reasons for vaccine hesitancy was not knowing enough about it. Males were two times more likely than females to believe that they did not need the HPV vaccine. The odds for HPV vaccine hesitancy were greater among males and younger age groups compared to females and older age groups. This study underscores the importance of implementing university-wide interventions and educational campaigns to enhance awareness and knowledge of the HPV vaccine.

Construction of item-level scales from the Personality Assessment Inventory to assess levels of personality functioning.

The fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5; American Psychiatric Association, 2013) introduced the clinician-rated Levels of Personality Functioning Scale (LPFS) as an indicator of general personality functioning based on four elements: Identity, Self-Direction, Empathy, and Intimacy. Construct validation strategies were employed to select and evaluate items from the Personality Assessment Inventory (PAI; Morey, 2007) to measure the four elements of the LPFS. In Study 1, conceptual ratings of PAI items produced lists of candidate items for the four elements. In Study 2, a sample of student respondents (n = 312) was used to select the final items for the PAI-Levels of Personality Functioning (PAI-LPF). In Study 3, a large sample of adults (n = 505) gathered using Amazon's Mechanical Turk was used to cross-validate the psychometric properties of the PAI-LPF element scales. Means, standard deviations, and coefficient alpha values are reported for the PAI-LPF total score and element scales using the PAI community adult and clinical patient normative samples. The PAI-LPF offers clinicians and researchers the ability to include the LPFS as part of a comprehensive assessment of personality and psychopathology offered by the PAI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Assessing examination equipment accessibility for the disabled using non-fidelity of checkup items

Abstract Background Even after arriving at the hospital for a health checkup, access to equipment of the disabled is often limited. However, there is a lack of investigation on accessibility of health examination equipment due to difficulty in appropriate evaluation. Methods The Korean national health information database was analyzed to assess the non-fidelity of health checkup screening items for the disabled and non-disabled. Health checkup items included height, weight, BMI, visual acuity, audiometry, blood pressure, urinary protein, hemoglobin and chest X-ray. To analyze the non-fidelity of health checkup items according to the characteristics of the disabled, a chi-square analysis was conducted. Logistic regression analysis was performed to non-fidelity the influencing factors for non-fidelity of each health checkup item for the disabled and non-disabled. Results Among all health checkup participants, women's non-fidelity rate of checkup items was twice higher than men's (OR 2.20, 95% CI 2.18-2.21). The disabled were more twice times higher non-fidelity rate than the non-disabled(OR 2.49, 95% CI 2.47-2.52). It was evident in the case of women disabled, severely disabled or elderly disabled(&amp;lt;.001). Conclusions The non-fidelity rate of the disabled was high, especially for women disabled, severly disabled or elderly disabled. Even if the disabled visit a hospital for health checkup, access to the equipment may be limited. To increase accessibility to diagnostic equipment and improve access to essential health services, it is important to monitor and support the non-fidelity of each checkup item. Key messages • The disabled are more than twice as likely to have higher non-fidelity rates of health checkup items than the non-disabled. • Especially it was high among women disabled, severely disabled or elderly disabled.

Sports Neuropsychologists' Ratings of Clinical Criteria Used to Help Determine Concussion Recovery: A Brief Survey Report.

To identify criteria used by sports neuropsychologists in determining recovery following sport-related concussion. Forty-six sports neuropsychologists completed a custom survey, rating the importance of specific criteria for determining concussion recovery in youth versus adults. Percentages and modal ratings were documented. "Back to work/school without accommodations," "No headache after neurocognitive testing," "Feeling 100% back to normal," and "No symptoms after noncontact exertion" were rated highest for youth and adults. "Physician examination without concerns" and "Balance testing" were the two lowest rated items for both youth and adults. For youth, "sufficient" amount of time symptom-free needed for recovery was seen as longer than for adults. There was some similarity in how sports neuropsychologists determine concussion recovery for both adults and youth. Future studies should include a larger sample size and concussion experts from other specialties to identify the current multidisciplinary standard of care.

The Pest Risk Reduction Scenario Tool (PRReSTo) for quantifying trade-related plant pest risks and benefits of risk-reducing measures

Plant pest risks posed by trade in agricultural commodities are managed through pest risk analysis which involves assessing risk and selecting phytosanitary measures to manage unrestricted risk if it is unacceptably high. Diverse measures can be used to reduce risk. However, calibrating risk management protocols with the level of unrestricted risk is challenging. Agreed methods and user-friendly tools for comparatively evaluating risk-reducing measures in different pest-host systems are lacking. Here, we describe the Pest Risk Reduction Scenario Tool (PRReSTo), a generic Bayesian network model that estimates likely infestation rates of host items in consignments. PRReSTo considers host items’ vulnerability to pest infestation, the pest abundance to which host items are exposed during production, and the individual and cumulative effects of risk-reducing measures aimed at either minimising host vulnerability, pest exposure or infestation rates. We apply a PRReSTo implementation developed for assessing trappable insect pests in horticultural produce to test its versatility. First, we evaluate likely (unrestricted) host infestation rates under different levels of pest exposure and host vulnerability. Next, we evaluate the adequacy of risk-reducing measures under different host infestation scenarios and acceptability thresholds. We find that equivalent risk reduction may be achieved by highly effective individual measures or combinations of measures in a phytosanitary systems approach. The current implementation of PRReSTo is supported by an open access web application to facilitate adoption as a scenario analysis and decision-support tool by industry and regulators.

Controlling the Minimum Item Exposure Rate in Computerized Adaptive Testing: A Two-Stage Sympson-Hetter Procedure.

Computerized adaptive testing (CAT) can improve test efficiency, but it also causes the problem of unbalanced item usage within a pool. The effect of uneven item exposure rates can not only induce a test security problem due to overexposed items but also raise economic concerns about item pool development due to underexposed items. Therefore, this study proposes a two-stage Sympson-Hetter (TSH) method to enhance balanced item pool utilization by simultaneously controlling the minimum and maximum item exposure rates. The TSH method divides CAT into two stages. While the item exposure rates are controlled above a prespecified level (e.g., rmin) in the first stage to increase the exposure rates of the underexposed items, they are controlled below another prespecified level (e.g., rmax) in the second stage to prevent items from overexposure. To reduce the effect on trait estimation, TSH only administers a minimum sufficient number of underexposed items that are generally less discriminating in the first stage of CAT. The simulation study results indicate that the TSH method can effectively improve item pool usage without clearly compromising trait estimation precision in most conditions while maintaining the required level of test security.

Child and Caregiver Beliefs of Importance of Physical Function and Quality of Life in Juvenile Idiopathic Arthritis: A Survey Study.

To evaluate patient-caregiver beliefs of relative importance across 4 domains while living with juvenile idiopathic arthritis (JIA). This was a cross-sectional, anonymous survey study conducted in an academic medical center. Participants with JIA and caregivers (N = 151) completed a Likert-style survey to rate items by importance of knowledge about 4 domains: medications, physical activity, routine measures, and quality of life. Knowledge of medication issues ranked higher than the remaining 3 domains (4.2 ± 0.7 points vs 4.0 ± 0.7, 4.1 ± 0.8, and 4.0 ± 0.9 points, respectively; P = .026; P = .026). Compared with caregivers, participants rated importance lower for all 4 domains. Gait and physical activity and well-being are not uniformly measured as part of routine clinical care and disease tracking in JIA. Both participants and caregivers ranked knowledge of physical activity similarly to routine office measures and quality of life. Inclusion of these measures in routine care could improve people centeredness and inform treatment plans.

A feasible heat release rate estimation approach for fire hazard assessment in green design

New energy harvesting systems in buildings are becoming more attractive in new green buildings. However, the potential fire hazard of the combustible items used in new green building limits their wider application. Fire behaviour of combustible items in new green designs should be studied carefully. Heat release rate of burning combustible items of different materials is important in fire hazard assessment and can be estimated by oxygen consumption calorimetry. An exhaust hood with a fan-duct system was built to collect flue gas. As the burning was likely to be incomplete in building fires, carbon monoxide, carbon dioxide, water vapor and soot would be emitted. Heat release rates of combustible items were estimated by measuring the transient amount of oxygen, carbon monoxide and carbon dioxide collected by the hood. Based on mass balancing, there are at least three equations in terms of mass flow rates of oxygen, carbon monoxide and carbon dioxide in the incoming air and exhaust gas. There are always questions about using which equations because measuring gases in full-scale burning tests is difficult and expensive. These three equations are introduced and compared in this paper. Heat release rates of four selected combustible items were studied as an example case. Accuracy of the results based on the measured oxygen concentration only was similar to the values provided by commercial software. Results from the experimental data are useful in further full-scale burning tests on combustible items in energy harvest systems planning at the moment.

The application of red music culture resources in the education of ecological civilization concept in colleges and universities under the background of multimedia

Abstract This paper uses a user-based collaborative filtering algorithm to predict the ratings of items by target users and to recommend items that target users have not interacted with. The red music and cultural resources were ranked according to their values, and the Bartholomew coefficient was introduced to calculate the similarity of items from the perspective of a probability distribution, and the content recommendation algorithm was used to construct a model of ecological civilization education concept. It is found that more than 50% of undergraduate college students pay regular attention to ecological environment information, and 30.56% of them will actively learn ecological civilization knowledge, which is not thorough and comprehensive enough for ecological civilization concept establishment and cultivation. It is suggested that universities should integrate red music culture into ecological civilization education to create an ecological civilization cultivation atmosphere.

Research on the development of literature practice teaching for college students in the context of computer technology

Abstract In this paper, intelligent information retrieval of relevant literary content through collaborative filtering algorithms in Internet technology is used to analyze the similarity between users and, thus, to select similar items in a weighted ranking. The Jacobian formula is used to calculate the common feature values and thus predict the user’s unrated item ratings. Word normalization is performed through information extraction of text keywords to effectively abstract the dimensionality of text features. The results showed that the influence of learning based on language literacy was 0.697, the preference for the literary genre of prose was as high as 49.4%, and students could accept infiltration teaching. It indicates that making full use of Internet technology means can break the time and space limitations in the traditional teaching of literature, provide effective support for students’ interactive communication, expand students’ cultural horizons, and improve their humanistic literacy.

A Survey of Sequential Pattern Based E-Commerce Recommendation Systems

E-commerce recommendation systems usually deal with massive customer sequential databases, such as historical purchase or click stream sequences. Recommendation systems’ accuracy can be improved if complex sequential patterns of user purchase behavior are learned by integrating sequential patterns of customer clicks and/or purchases into the user–item rating matrix input of collaborative filtering. This review focuses on algorithms of existing E-commerce recommendation systems that are sequential pattern-based. It provides a comprehensive and comparative performance analysis of these systems, exposing their methodologies, achievements, limitations, and potential for solving more important problems in this domain. The review shows that integrating sequential pattern mining of historical purchase and/or click sequences into a user–item matrix for collaborative filtering can (i) improve recommendation accuracy, (ii) reduce user–item rating data sparsity, (iii) increase the novelty rate of recommendations, and (iv) improve the scalability of recommendation systems.

A proof of concept study of promotive, mixed, and risk effects using the SAVRY assessment tool items with youth with sexual offenses.

There is currently a lack of consensus about the nature of strengths in forensic assessments. With 273 justice-involved male youth and a fixed 3-year follow-up, this study adopted the approach of Farrington and colleagues to investigating the nature of associations between trichotomized variables, representing risks and strengths, and outcomes using pairs of odds ratios (ORs) and percentage point changes from base rates. Items from the Structured Assessment of Violence Risk in Youth (SAVRY), a structured professional judgment tool used to assess risk and protective factors in justice-involved youth, were employed for this purpose. In the literature, the accuracy of SAVRY summed totals for its Risk Factor item sets (each item rated using a trichotomy) has been generally in the moderate range in predicting future violence. But the total for its summed Protective Factor items (each rated using a dichotomy) has been less consistently encouraging. In this study, contrary to their labels, the majority of SAVRY Risk and Protective Factors (rated using trichotomies) exerted a risk effect at one end of their trichotomy (risk item ratings of 2, protective item ratings of 0) and a promotive effect at the other end (risk item ratings of 0, protective factor ratings of 2) for a new violent (including sexual) offense and any new offense. Subsets of items conservatively weighted using ORs (capturing risk and strength) were statistically significantly more accurate in predicting outcomes than their originally rated counterpart subsets. Implications for understanding the nature of strengths and for applied assessment practices are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

That sounds awful! Does sound unpleasantness modulate the mismatch negativity and its habituation?

There are sounds that most people perceive as highly unpleasant, for instance, the sound of rubbing pieces of polystyrene together. Previous research showed larger physiological and neural responses for such aversive compared to neutral sounds. Hitherto, it remains unclear whether habituation, i.e., diminished responses to repeated stimulus presentation, which is typically reported for neutral sounds, occurs to the same extent for aversive stimuli. We measured the mismatch negativity (MMN) in response to rare occurrences of aversive or neutral deviant sounds within an auditory oddball sequence in 24 healthy participants, while they performed a demanding visual distractor task. Deviants occurred as single events (i.e., between two standards) or as double deviants (i.e., repeating the identical deviant sound in two consecutive trials). All deviants elicited a clear MMN, and amplitudes were larger for aversive than for neutral deviants (irrespective of their position within a deviant pair). This supports the claim of preattentive emotion evaluation during early auditory processing. In contrast to our expectations, MMN amplitudes did not show habituation, but increased in response to deviant repetition-similarly for aversive and neutral deviants. A more fine-grained analysis of individual MMN amplitudes in relation to individual arousal and valence ratings of each sound item revealed that stimulus-specific MMN amplitudes were best predicted by the interaction of deviant position and perceived arousal, but not by valence. Deviants with perceived higher arousal elicited larger MMN amplitudes only at the first deviant position, indicating that the MMN reflects preattentive processing of the emotional content of sounds.